Introduction to Python Programming And Data Structure By Liang

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying

Xi Chen explores the question of why there has been a dramatic rise in and routinization of social protests in China since the early 1990s. Drawing on case studies, in-depth interviews and a unique data set of about 1,000 government records of collective petitions, this book examines how the political structure in Reform China has encouraged Chinese farmers, workers, pensioners, disabled people and demobilized soldiers to pursue their interests and claim their rights by staging collective protests. Chen suggests that routinized contentious bargaining between the government and ordinary people has remedied the weaknesses of the Chinese political system and contributed to the regime's resilience. Social Protest and Contentious Authoritarianism in China challenges the conventional wisdom that authoritarian regimes always repress popular collective protest and that popular collective action tends to destabilize authoritarian regimes.

In most liberal democracies commercialized media is taken for granted, but in many authoritarian regimes the introduction of market forces in the media represents a radical break from the past with uncertain political and social implications. In Media Commercialization and Authoritarian Rule in China, Daniela Stockmann argues that the consequences of media marketization depend on the institutional design of the state. In one-party regimes such as China, market-based media promote regime stability rather than destabilizing authoritarianism or bringing about democracy. By analyzing the Chinese media, Stockmann ties trends of market liberalism in China to other authoritarian regimes in the Middle East, North Africa, sub-Saharan Africa and the post-Soviet region. Drawing on in-depth interviews with Chinese journalists and propaganda officials as well as more than 2000 newspaper articles, experiments and public opinion data sets, this book links censorship among journalists with patterns of

Presents an introduction to computer programming for kids. This book takes kids' step-by-step through the basics of computer programming and how to work with code, the language of the future.

This book explores noun phrase (NP) complexity in English, showing that it is best accounted for both by a linear and a hierarchical parameter: its length and its type of postmodifier(s). The study is methodologically unique in that it combines univariate and multivariate analyses in an investigation of four different syntactic variables. Drawing on more than three billion words of British and American data, Eva Berlage shows that the length and the structure of the NPs, along with language-external factors such as the regional variety of English, work as powerful determinants of the variation. On a theoretical level, the book reveals that the structural complexity of NPs cannot be sufficiently captured by (phrasal) node counts but that we need to incorporate the degree to which NPs are sentential. The book is designed for researchers and students interested in syntax, language variation, sociolinguistics, structural complexity and the history of English.

This collection of essays explores current developments in privacy law, including reform of data protection laws, privacy and the media, social control and surveillance, privacy and the Internet, and privacy and the courts. It places these developments into a broader international context, with a particular focus on the European Union, the United Kingdom, Australia and New Zealand. Adopting a comparative approach, it creates an important resource for understanding international trends in the reform of privacy and data protection laws across a variety of contexts. Written by internationally recognised experts, Emerging Challenges in Privacy Law: Comparative Perspectives provides an accessible introduction to contemporary legal and policy debates in privacy and data protection law. It is essential reading for academics, policy makers and practitioners interested in current challenges facing privacy and data protection law in Europe and in the common law world.

The structural mechanics of proteins that fold into functional shapes, polymers that aggregate and form clusters, and organic macromolecules that bind to inorganic matter can only be understood through statistical physics and thermodynamics. This book reviews the statistical mechanics concepts and tools necessary for the study of structure formation processes in macromolecular systems that are essentially influenced by finite-size and surface effects. Readers are introduced to molecular modeling approaches, advanced Monte Carlo simulation techniques, and systematic statistical analyses of numerical data. Applications to folding, aggregation, and substrate adsorption processes of polymers and proteins are discussed in great detail. Particular emphasis is placed on the reduction of complexity by coarse-grained modeling, which allows for the efficient, systematic investigation of structural phases and transitions. Providing insight into modern research at this interface between physics,

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding

This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure suc

A comprehensive guide to conducting research projects in linguistics, this book provides a complete training in state-of-the-art data collection, processing, and analysis techniques. The book follows the structure of a research project, guiding the reader through the steps involved in collecting and processing data, and providing a solid foundation for linguistic analysis. All major research methods are covered, each by a leading expert. Rather than focusing on narrow specializations, the text fosters interdisciplinarity, with many chapters focusing on shared methods such as sampling, experimental design, transcription and constructing an argument. Highly practical, the book offers helpful tips on how and where to get started, depending on the nature of the research question. The only book that covers the full range of methods used across the field, this student-friendly text is also a helpful reference source for the more experienced researcher and current practitioner.

Designed for students with only a basic knowledge of linguistics, this leading textbook provides a clear and practical introduction to phonology, the study of sound patterns in language. It teaches in a step-by-step fashion the logical techniques of phonological analysis and the fundamental theories that underpin it. This thoroughly revised and updated edition teaches students how to analyze phonological data, how to think critically about data, how to formulate rules and hypotheses, and how to test them. New to this edition: • Improved examples, over 60 exercises and 14 new problem sets from a wide variety of languages encourage students to practise their own analysis of phonological processes and patterns • A new and updated reference list of phonetic symbols and an updated transcription system, making data more accessible to students • Additional online material includes pedagogical suggestions and password-protected answer keys for instructors

Boundary conformal field theory is concerned with a class of two-dimensional quantum field theories which display a rich mathematical structure and have many applications ranging from string theory to condensed matter physics. In particular, the framework allows discussion of strings and branes directly at the quantum level. Written by internationally renowned experts, this comprehensive introduction to boundary conformal field theory reaches from theoretical foundations to recent developments, with an emphasis on the algebraic treatment of string backgrounds. Topics covered include basic concepts in conformal field theory with and without boundaries, the mathematical description of strings and D-branes, and the geometry of strongly curved spacetime. The book offers insights into string geometry that go beyond classical notions. Describing the theory from basic concepts, and providing numerous worked examples from conformal field theory and string theory, this reference is of interest

A comprehensive guide to conducting research projects in linguistics, this book provides a complete training in state-of-the-art data collection, processing, and analysis techniques. The book follows the structure of a research project, guiding the reader through the steps involved in collecting and processing data, and providing a solid foundation for linguistic analysis. All major research methods are covered, each by a leading expert. Rather than focusing on narrow specializations, the text fosters interdisciplinarity, with many chapters focusing on shared methods such as sampling, experimental design, transcription and constructing an argument. Highly practical, the book offers helpful tips on how and where to get started, depending on the nature of the research question. The only book that covers the full range of methods used across the field, this student-friendly text is also a helpful reference source for the more experienced researcher and current practitioner.

Campesato presents this guide to using HTML5 for mobile programming, giving instruction with a mix of prose and code. A general introduction to the intersection of HTML5 and mobile is followed by spec

Presents an introduction to ancient India, covering such topics as religion, the military, cuisine, social structure, and everyday life, with instructions for fifteen handicraft projects for recreatin

Providing a comprehensive introduction to quantum field theory, this textbook covers the development of particle physics from its foundations to the discovery of the Higgs boson. Its combination of clear physical explanations, with direct connections to experimental data, and mathematical rigor make the subject accessible to students with a wide variety of backgrounds and interests. Assuming only an undergraduate-level understanding of quantum mechanics, the book steadily develops the Standard Model and state-of-the-art calculation techniques. It includes multiple derivations of many important results, with modern methods such as effective field theory and the renormalization group playing a prominent role. Numerous worked examples and end-of-chapter problems enable students to reproduce classic results and to master quantum field theory as it is used today. Based on a course taught by the author over many years, this book is ideal for an introductory to advanced quantum field theory s

"Introduction The origins of modern day international assessments of student skills are often traced back to the First International Mathematics Study (FIMS) conducted by the International Association

If you have basic programming skills and do any kind of data analysis, you need R in your toolkit. This book teaches you how to be productive with this important programming language for statistics by

C++ is a great place to learn programming. Learn the syntax of C++ and learning languages like Java, JavaScript, PHP, Python and many others are much easier.The way to learn programming is by doing. T

This book offers a step-by-step-introduction into Web Dynpro ABAP. It details how to design a Web Dynpro component, data binding and interface methods and view controller methods. Each chapter include

The Handbook on Systemic Risk, written by experts in the field, provides researchers with an introduction to the multifaceted aspects of systemic risks facing the global financial markets. The Handbook explores the multidisciplinary approaches to analyzing this risk, the data requirements for further research, and the recommendations being made to avert financial crisis. The Handbook is designed to encourage new researchers to investigate a topic with immense societal implications as well as to provide, for those already actively involved within their own academic discipline, an introduction to the research being undertaken in other disciplines. Each chapter in the Handbook will provide researchers with a superior introduction to the field and with references to more advanced research articles. It is the hope of the editors that this Handbook will stimulate greater interdisciplinary academic research on the critically important topic of systemic risk in the global financial markets.

Nominal sets provide a promising new mathematical analysis of names in formal languages based upon symmetry, with many applications to the syntax and semantics of programming language constructs that involve binding, or localising names. Part I provides an introduction to the basic theory of nominal sets. In Part II, the author surveys some of the applications that have developed in programming language semantics (both operational and denotational), functional programming and logic programming. As the first book to give a detailed account of the theory of nominal sets, it will be welcomed by researchers and graduate students in theoretical computer science.

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, logic and object-oriented programming languages with different data, control and module abstractions. Designed for courses or self-study, this book includes numerous exercises and examples that require minimal computer science background, making it accessible to novices. Experienced practitioners and researchers will appreciate the detailed examples in a wide range of application areas including hardware design, image processing, access control, query optimization and program analysis. The last section of the book points out directions for future studies.

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, logic and object-oriented programming languages with different data, control and module abstractions. Designed for courses or self-study, this book includes numerous exercises and examples that require minimal computer science background, making it accessible to novices. Experienced practitioners and researchers will appreciate the detailed examples in a wide range of application areas including hardware design, image processing, access control, query optimization and program analysis. The last section of the book points out directions for future studies.

Created by two of the field’s leading experts, this unique introduction to international religious demography outlines the challenges in interpreting data on religious adherence, and presents a contem

The third edition of this classic textbook is a quantitative introduction for advanced undergraduates and graduate students. It gently guides students from Newton's gravitational theory to special relativity, and then to the relativistic theory of gravitation. General relativity is approached from several perspectives: as a theory constructed by analogy with Maxwell's electrodynamics, as a relativistic generalization of Newton's theory, and as a theory of curved spacetime. The authors provide a concise overview of the important concepts and formulas, coupled with the experimental results underpinning the latest research in the field. Numerous exercises in Newtonian gravitational theory and Maxwell's equations help students master essential concepts for advanced work in general relativity, while detailed spacetime diagrams encourage them to think in terms of four-dimensional geometry. Featuring comprehensive reviews of recent experimental and observational data, the text concludes with

By providing a solid theoretical basis, this book introduces modern finance to readers, including students in science and technology, who already have a good foundation in quantitative skills. It combines the classical, decision-oriented approach and the traditional organization of corporate finance books with a quantitative approach that is particularly well suited to students with backgrounds in engineering and the natural sciences. This combination makes finance much more transparent and accessible than the definition-theorem-proof pattern that is common in mathematics and financial economics. The book's main emphasis is on investments in real assets and the real options attached to them, but it also includes extensive discussion of topics such as portfolio theory, market efficiency, capital structure and derivatives pricing. Finance equips readers as future managers with the financial literacy necessary either to evaluate investment projects themselves or to engage critically with

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides student

The definitive introduction to data analysis in quantitative proteomics.This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistica

In most liberal democracies commercialized media is taken for granted, but in many authoritarian regimes the introduction of market forces in the media represents a radical break from the past with uncertain political and social implications. In Media Commercialization and Authoritarian Rule in China, Daniela Stockmann argues that the consequences of media marketization depend on the institutional design of the state. In one-party regimes such as China, market-based media promote regime stability rather than destabilizing authoritarianism or bringing about democracy. By analyzing the Chinese media, Stockmann ties trends of market liberalism in China to other authoritarian regimes in the Middle East, North Africa, sub-Saharan Africa and the post-Soviet region. Drawing on in-depth interviews with Chinese journalists and propaganda officials as well as more than 2000 newspaper articles, experiments and public opinion data sets, this book links censorship among journalists with patterns of

Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. The author describes classical computer vision algorithms used on a regular basis in Hollywood (such as blue screen matting, structure from motion, optical flow and feature tracking) and exciting recent developments that form the basis for future effects (such as natural image matting, multi-image compositing, image retargeting and view synthesis). He also discusses the technologies behind motion capture and three-dimensional data acquisition. More than 200 original images demonstrating princi

A practical step-by-step introduction to the analysis of English grammar, taking an integrated approach to function and structure.

A practical step-by-step introduction to the analysis of English grammar, taking an integrated approach to function and structure.

Shows how approximate dynamic programming can be used to design a family of adaptive optimal control algorithms that converge in real time to optimal control solutions by measuring data along the syst

A complete introduction to the field of computational physics, with examples and exercises in the Python programming language. Computers play a central role in virtually every major physics discovery

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

Do great leaders make history? Or are they compelled to act by historical circumstance? This debate has remained unresolved since Thomas Carlyle and Karl Marx framed it in the mid-nineteenth century, yet implicit answers inform our policies and our views of history. In this book, Professor Bear F. Braumoeller argues persuasively that both perspectives are correct: leaders shape the main material and ideological forces of history that subsequently constrain and compel them. His studies of the Congress of Vienna, the interwar period, and the end of the Cold War illustrate this dynamic, and the data he marshals provide systematic evidence that leaders both shape and are constrained by the structure of the international system.

Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather than using abstract mathematics, the reader is instructed through six biomedical example applications, each example characterized by step-by-step discussions of established numerical methods and implemented in reliable computer routines. Adopting this technique, the reader will understand how PDE models are formulated, implemented and tested. Supported by a set of rigorously tested general purpose PDE routines online, and with enhanced understanding through animations, this book will be ideal for anyone faced with interpreting large experimental data sets that need to be analyzed with PDE models in biomedical engineering.

Do great leaders make history? Or are they compelled to act by historical circumstance? This debate has remained unresolved since Thomas Carlyle and Karl Marx framed it in the mid-nineteenth century, yet implicit answers inform our policies and our views of history. In this book, Professor Bear F. Braumoeller argues persuasively that both perspectives are correct: leaders shape the main material and ideological forces of history that subsequently constrain and compel them. His studies of the Congress of Vienna, the interwar period, and the end of the Cold War illustrate this dynamic, and the data he marshals provide systematic evidence that leaders both shape and are constrained by the structure of the international system.